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Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies
Kshitij Sharma, Andy Nguyen, Yvonne Hong, British Journal of Educational Technology, 2024/04/09

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According to this paper, a systemic review of 38 studies, "Adaptive learning technologies are closely related to learners' self-regulatory processes in individual and collaborative learning." The authors elaborate, "we identified the seven main objectives (feedback and scaffolding, self-regulatory skills and strategies, learning trajectories, collaborative learning processes, adaptation and regulation, self-assessment, and help-seeking behaviour) that the adaptive technology research has been focusing on." As an aside, I've long wondered about the assumptions behind the term 'self-regulation', which implies a corrective function, as opposed to, say, 'engagement' or 'initiation', and such, which suggest greater empowerment. This idea of learning as doing something you don't want to do (and hence requiring willpower and self-regulation) doesn't really sit well with me.

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A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor
Greg Toppo, The 74, 2024/04/09

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This story may well gain a lot of traction. But one wonders why we should draw any lessons from an AI initiative launched in 2011 and abandoned five years later. That's the story this article tells us, though, and we're supposed to conclude on that basis that AI is pretty limited. But as Ethan Mollick writes, "The current best estimates of the rate of improvement in Large Language Models show capabilities doubling ever 5 to 14 months." You can't base your predictions on what AI can or cannot do on what it's doing today, let alone ten years ago. No small number of populist writers will try to appear to readers' fears and emotions about AI by assuring them that they're still special and privileged. But AI is, in it's own way, a Copernican revolution.

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The Inclusive Teaching Umbrella
Sarah E. Silverman, 2024/04/09

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This is just a short post consisting mostly of the image. Still, the image is useful enough and powerful enough to rate a mention here. It's an odd mix of privilege and inclusivity (this is an observation more than a criticism - you would only have things in your chart like 'supporting first-gen students' or 'inclusive approaches for international students + english learners' if you were creating this graphic from a perspective of privilege, and specifically, working for an English-language university (probably, based on the terminology, in the U.S.).

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Beeper
Automattic, 2024/04/09

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Do you sometimes feel like you're just being played? A communications app called Beeper came out of beta today, meaning anyone can use it, no invitation needed. And it also launched an Android app! It was enough to make Alan Levine say "This is cool!" But before we could even send our first message, Beeper was acquired by Automattic. And the fun ended that quickly. The people I feel for are those who helped in the beta testing. The Beeper home page still says "Beeper is an entirely independent software product, with no relationship to, or endorsement by, Apple, Google, Facebook, or any other supported chat networks." I guess they should remove that. Now we'll have to watch as the application is slowly depreciated in order to pay the debt created by the acquisition. Now Automattic isn't the worst place they could land. But when (not if) the company goes public, everything changes. (Having said all that, I still signed up for an account. Part of the job. My username on Beeper: @downes).

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CODATA Data Ethics Working Group Policy Briefs Available for Comment and Feedback
International Science Council, 2024/04/09

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In my email today: "The International Science Council's CODATA Working Group on Data Ethics has been developing policy briefings responding to the UNESCO Recommendation on Open Science." Three such briefings are available for review and comment: Data Ethics and Research Integrity (provide feedback here); Data Ethics and Privacy (and feedback); and Data Ethics and Structural Inequities in Science (feedback).

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We publish six to eight or so short posts every weekday linking to the best, most interesting and most important pieces of content in the field. Read more about what we cover. We also list papers and articles by Stephen Downes and his presentations from around the world.

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